Model Comparison

Phi-4-multimodal-instruct vs QwQ-32B-Preview

Comparing Phi-4-multimodal-instruct and QwQ-32B-Preview across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Phi-4-multimodal-instruct and QwQ-32B-Preview don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Phi-4-multimodal-instruct costs less

For input processing, Phi-4-multimodal-instruct ($0.05/1M tokens) is 3.0x cheaper than QwQ-32B-Preview ($0.15/1M tokens).

For output processing, Phi-4-multimodal-instruct ($0.10/1M tokens) is 2.0x cheaper than QwQ-32B-Preview ($0.20/1M tokens).

In conclusion, QwQ-32B-Preview is more expensive than Phi-4-multimodal-instruct.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Wed Apr 15 2026 • llm-stats.com
Microsoft
Phi-4-multimodal-instruct
Input tokens$0.05
Output tokens$0.10
Best providerDeepinfra
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
Input tokens$0.15
Output tokens$0.20
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

26.9B diff

QwQ-32B-Preview has 26.9B more parameters than Phi-4-multimodal-instruct, making it 480.4% larger.

Microsoft
Phi-4-multimodal-instruct
5.6Bparameters
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
32.5Bparameters
5.6B
Phi-4-multimodal-instruct
32.5B
QwQ-32B-Preview

Context Window

Maximum input and output token capacity

Phi-4-multimodal-instruct accepts 128,000 input tokens compared to QwQ-32B-Preview's 32,768 tokens. Phi-4-multimodal-instruct can generate longer responses up to 128,000 tokens, while QwQ-32B-Preview is limited to 32,768 tokens.

Microsoft
Phi-4-multimodal-instruct
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
Input32,768 tokens
Output32,768 tokens
Wed Apr 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Phi-4-multimodal-instruct supports multimodal inputs, whereas QwQ-32B-Preview does not.

Phi-4-multimodal-instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Phi-4-multimodal-instruct

Text
Images
Audio
Video

QwQ-32B-Preview

Text
Images
Audio
Video

License

Usage and distribution terms

Phi-4-multimodal-instruct is licensed under MIT, while QwQ-32B-Preview uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Phi-4-multimodal-instruct

MIT

Open weights

QwQ-32B-Preview

Apache 2.0

Open weights

Release Timeline

When each model was launched

Phi-4-multimodal-instruct was released on 2025-02-01, while QwQ-32B-Preview was released on 2024-11-28.

Phi-4-multimodal-instruct is 2 months newer than QwQ-32B-Preview.

Phi-4-multimodal-instruct

Feb 1, 2025

1.2 years ago

2mo newer
QwQ-32B-Preview

Nov 28, 2024

1.4 years ago

Knowledge Cutoff

When training data ends

Phi-4-multimodal-instruct has a knowledge cutoff of 2024-06-01, while QwQ-32B-Preview has a cutoff of 2024-11-28.

QwQ-32B-Preview has more recent training data (up to 2024-11-28), making it potentially better informed about events through that date compared to Phi-4-multimodal-instruct (2024-06-01).

Phi-4-multimodal-instruct

Jun 2024

QwQ-32B-Preview

Nov 2024

5 mo newer

Provider Availability

Phi-4-multimodal-instruct is available from DeepInfra. QwQ-32B-Preview is available from DeepInfra, Hyperbolic, Fireworks, Together.

Phi-4-multimodal-instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.05/1MOutput Price:Output: $0.10/1M

QwQ-32B-Preview

deepinfra logo
Deepinfra
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
together logo
Together
Input Price:Input: $1.20/1MOutput Price:Output: $1.20/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Microsoft
Larger context window (128,000 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Alibaba Cloud / Qwen Team

QwQ-32B-Preview

View details

Alibaba Cloud / Qwen Team

Detailed Comparison

AI Model Comparison Table
Feature
Microsoft
Phi-4-multimodal-instruct
Alibaba Cloud / Qwen Team
QwQ-32B-Preview

FAQ

Common questions about Phi-4-multimodal-instruct vs QwQ-32B-Preview

Phi-4-multimodal-instruct (Microsoft) and QwQ-32B-Preview (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
Phi-4-multimodal-instruct scores ScienceQA Visual: 97.5%, DocVQA: 93.2%, MMBench: 86.7%, POPE: 85.6%, OCRBench: 84.4%. QwQ-32B-Preview scores MATH-500: 90.6%, GPQA: 65.2%, AIME 2024: 50.0%, LiveCodeBench: 50.0%.
Phi-4-multimodal-instruct is 3.0x cheaper for input tokens. Phi-4-multimodal-instruct costs $0.05/M input and $0.10/M output via deepinfra. QwQ-32B-Preview costs $0.15/M input and $0.20/M output via deepinfra.
Phi-4-multimodal-instruct supports 128K tokens and QwQ-32B-Preview supports 33K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (128K vs 33K), input pricing ($0.05 vs $0.15/M), multimodal support (yes vs no), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Phi-4-multimodal-instruct is developed by Microsoft and QwQ-32B-Preview is developed by Alibaba Cloud / Qwen Team.